Where we use AI, and where we deliberately do not
AI is not a marketing line for us; it is a real part of our production line. Below we set out plainly what it speeds up, which decisions we never hand over to it, and why your work is never delivered half-done or insecure.
- Typical project duration
- 2-3 months → 1 month
- Code passing human review
- 100%
- Customer secrets given to a model
- 0
Why do we use it?
Most of a software project's duration comes not from hard decisions but from repetitive mechanical work: writing the tenth variation of the same form, enumerating test cases one by one, mapping old database fields onto new ones, keeping documentation current. None of it is difficult; all of it is long.
That is exactly the layer where we use AI. A CRM or ERP rollout that used to spread across two or three months now ships in roughly one, with the same scope and the same rigour. What shrinks is the time spent on mechanics, not the quality of the work.
And the time we win is not used to finish early and disappear. It goes into thinking about architecture, discussing edge cases and talking to you more often.
Where do we use it?
AI sits beside the team as a fast assistant. It accelerates; it does not decide.
- In brief analysis: breaking your answers into modules, roles, integrations and risks.
- In code generation: repetitive screens, forms, lists and service layers.
- In testing: sweeping for edge cases and drafting automated test scenarios.
- In data migration: mapping legacy fields onto the new structure and writing conversion scripts.
- In documentation: keeping technical docs and user guides current.
- As a second pair of eyes: catching mistakes a code review might miss.
- Inside your product: assistant, document-reading or forecasting features that run in your own system.
Where do we not use it?
Knowing a tool's limits matters as much as knowing how to use it. The items below are not up for discussion here.
- We never train models on customer data. Your data does not enter any training set.
- We never feed passwords, API keys, personal data or trade secrets to a model.
- We do not leave architecture, security and authorisation decisions to a model; those are human decisions.
- No code reaches production without passing human review.
- We never hand you AI-written text without verifying it first.
- We never ship output with unclear licensing or disputed authorship.
Security: nothing half-done, nothing left open
Speed is never taken out of security's pocket. Finishing quickly does not mean skipping checks; on the contrary, part of the time we win goes straight back into them.
These are the minimum checks we run on every delivery:
- Secrets are never committed; they live in environment variables, outside the repository.
- Input is validated twice: once in the browser, once again on the server.
- The permission matrix is tested by hand: every role is tried against screens it must not see.
- Dependencies are scanned for known vulnerabilities.
- Type checking, static analysis and automated tests run on every change.
- Session, cookie and rate-limit settings are reviewed before launch.
- Error and performance monitoring stays switched on after delivery.
Our ethical principles
We do not hide our use of AI, we do not overstate it, and we never push responsibility onto it.
- Transparency: ask us at which stage AI was involved and we will tell you plainly.
- Accountability: dyrdev. owns the delivered work. "The model wrote it that way" is not an excuse.
- Human oversight: the final call always stays with a person.
- Data minimisation: we work with the least data required to do the job.
- Accuracy: every technical claim produced is verified before it is applied.
- Longevity: the code is yours, and it must be readable, documented and transferable.
In short
AI is a lever here, not a shortcut. It takes on the mechanical work so we can spend the remaining time on the genuinely hard part: understanding your processes correctly.
The result is a system delivered sooner, with the same rigour, and one we can stand behind.
Let's talk about your project.
Fill in the brief and we will settle scope and timing together.